稳健性(进化)
短路
断层(地质)
工程类
电子工程
磁路
磁芯
故障指示器
功率(物理)
电气工程
计算机科学
故障检测与隔离
电压
物理
电磁线圈
生物化学
化学
量子力学
地震学
地质学
执行机构
基因
作者
Jingyi Liu,Chi Kwan Lee,Philip W. T. Pong
出处
期刊:IEEE Sensors Journal
[Institute of Electrical and Electronics Engineers]
日期:2023-09-15
卷期号:23 (18): 21832-21841
标识
DOI:10.1109/jsen.2023.3300126
摘要
The short-circuit fault in three-core power distribution cables is the leading cause of failure in the power distribution network. It is imperative to diagnose it as soon as possible to avoid the consequent power outages. Against the common fault diagnosis methods that either necessitate the three-phase current or the disconnection of cable from the grid, this article proposes an online fault diagnosis method by measuring the tangential magnetic field around the power cable surface in a nonintrusive way. The formulated magnetic pattern is first introduced to detect and classify short-circuit faults. A normal operation results in a circular magnetic pattern, while each type of short-circuit fault uniquely changes the magnetic pattern. In general, short-circuit faults result in a remarkable change in the radius of the magnetic pattern, which can be detected within five samples based on the cumulative sum-based algorithm. The sensitivity of the proposed method on load variation, homogeneous components, and cable structure is also evaluated. Both simulation and experimental results validate the effectiveness and robustness of the proposed method.
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